chore: merge dev into v2 (#34788)

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This commit is contained in:
James Long
2026-07-01 17:12:00 -04:00
committed by GitHub
co-authored by Brendan Allan Kit Langton opencode-agent[bot] <opencode-agent[bot]@users.noreply.github.com> Affan Ali affanali2k3 Frank opencode-agent[bot] <219766164+opencode-agent[bot]@users.noreply.github.com> 𝓛𝓲𝓽𝓽𝓵𝓮 𝓕𝓻𝓪𝓷𝓴 Aiden Cline Jay V Dax Raad Aarav Sareen OpeOginni Luke Parker Ben Guthrie Dax Filip Max Anderson Brendan Allan Jack Shoubhit Dash Dustin Deus starptech Aiden Cline usrnk1 Jay runvip opencode Julian Coy Vladimir Glafirov
parent 932a40cfd9
commit 8c94e9005f
590 changed files with 15772 additions and 5530 deletions
+24 -29
View File
@@ -9,13 +9,10 @@ import { InstanceRef } from "../../src/effect/instance-ref"
import { HttpClientRequest, HttpClientResponse } from "effect/unstable/http"
import z from "zod"
import { LLM } from "../../src/session/llm"
import { LLMClient, RequestExecutor, WebSocketExecutor } from "@opencode-ai/llm/route"
import { Auth } from "@/auth"
import { Config } from "@/config/config"
import { LLMClient, RequestExecutor } from "@opencode-ai/llm/route"
import { Provider } from "@/provider/provider"
import { ProviderTransform } from "@/provider/transform"
import { ModelsDev } from "@opencode-ai/core/models-dev"
import { Plugin } from "@/plugin"
import { testEffect } from "../lib/effect"
import type { Agent } from "../../src/agent/agent"
@@ -27,6 +24,9 @@ import { LLMAISDK } from "@/session/llm/ai-sdk"
import { Session as SessionNs } from "@/session/session"
import { ProviderV2 } from "@opencode-ai/core/provider"
import { ModelV2 } from "@opencode-ai/core/model"
import { AppNodeBuilder } from "@opencode-ai/core/effect/app-node-builder"
import { LayerNode } from "@opencode-ai/core/effect/layer-node"
import { LayerNodePlatform } from "@opencode-ai/core/effect/app-node-platform"
type ConfigModel = NonNullable<NonNullable<ConfigV1.Info["provider"]>[string]["models"]>[string]
@@ -52,15 +52,13 @@ const openAIConfig = (model: ModelsDev.Provider["models"][string], baseURL: stri
}
}
const it = testEffect(Layer.mergeAll(LLM.defaultLayer, Provider.defaultLayer))
const it = testEffect(AppNodeBuilder.build(LayerNode.group([LLM.node, Provider.node])))
// LLM.stream returns a Stream, not an Effect, so we can't use the serviceUse proxy.
const drain = (input: LLM.StreamInput) => LLM.Service.use((svc) => svc.stream(input).pipe(Stream.runDrain))
// drainWith builds an isolated runtime so the custom layer fully owns LLM and
// its transitive deps — `Effect.provide(layer)` over an existing runtime layers
// the new services on top, but transitive Service overrides (e.g. RequestExecutor)
// resolved through the outer LLM.defaultLayer leak through.
// drainWith builds an isolated runtime so custom replacements fully own LLM and
// its transitive deps.
const drainWith = (layer: Layer.Layer<LLM.Service>, input: LLM.StreamInput) =>
Effect.gen(function* () {
const ctx = yield* InstanceRef
@@ -75,15 +73,16 @@ const drainWith = (layer: Layer.Layer<LLM.Service>, input: LLM.StreamInput) =>
)
})
function llmLayerWithExecutor(executor: Layer.Layer<RequestExecutor.Service>, flags: Partial<RuntimeFlags.Info> = {}) {
return LLM.layer.pipe(
Layer.provide(Auth.defaultLayer),
Layer.provide(Config.defaultLayer),
Layer.provide(Provider.defaultLayer),
Layer.provide(Plugin.defaultLayer),
Layer.provide(LLMClient.layer.pipe(Layer.provide(Layer.mergeAll(executor, WebSocketExecutor.layer)))),
Layer.provide(RuntimeFlags.layer(flags)),
)
function llmLayerWithExecutor(
options: {
executor?: Layer.Layer<RequestExecutor.Service>
flags?: Partial<RuntimeFlags.Info>
} = {},
) {
return AppNodeBuilder.build(LLM.node, [
[RuntimeFlags.node, RuntimeFlags.layer(options.flags)],
...(options.executor ? ([[LayerNodePlatform.requestExecutor, options.executor]] as const) : []),
])
}
describe("session.llm.hasToolCalls", () => {
@@ -1129,14 +1128,10 @@ describe("session.llm.stream", () => {
} satisfies Agent.Info
yield* drainWith(
LLM.layer.pipe(
Layer.provide(Auth.defaultLayer),
Layer.provide(Config.defaultLayer),
Layer.provide(Provider.defaultLayer),
Layer.provide(Plugin.defaultLayer),
Layer.provide(failingNativeClient),
Layer.provide(RuntimeFlags.layer({ experimentalNativeLlm: false })),
),
AppNodeBuilder.build(LLM.node, [
[LayerNodePlatform.llmClient, failingNativeClient],
[RuntimeFlags.node, RuntimeFlags.layer({ experimentalNativeLlm: false })],
]),
{
user: {
id: MessageID.make("msg_user-native-flag-off"),
@@ -1199,7 +1194,7 @@ describe("session.llm.stream", () => {
temperature: 0.2,
} satisfies Agent.Info
yield* drainWith(llmLayerWithExecutor(RequestExecutor.defaultLayer, { experimentalNativeLlm: true }), {
yield* drainWith(llmLayerWithExecutor({ flags: { experimentalNativeLlm: true } }), {
user: {
id: MessageID.make("msg_user-native"),
sessionID,
@@ -1282,7 +1277,7 @@ describe("session.llm.stream", () => {
permission: [{ permission: "*", pattern: "*", action: "allow" }],
} satisfies Agent.Info
yield* drainWith(llmLayerWithExecutor(executor, { experimentalNativeLlm: true }), {
yield* drainWith(llmLayerWithExecutor({ executor, flags: { experimentalNativeLlm: true } }), {
user: {
id: MessageID.make("msg_user-native-injected-tool"),
sessionID,
@@ -1371,7 +1366,7 @@ describe("session.llm.stream", () => {
permission: [{ permission: "*", pattern: "*", action: "allow" }],
} satisfies Agent.Info
yield* drainWith(llmLayerWithExecutor(RequestExecutor.defaultLayer, { experimentalNativeLlm: true }), {
yield* drainWith(llmLayerWithExecutor({ flags: { experimentalNativeLlm: true } }), {
user: {
id: MessageID.make("msg_user-native-tool"),
sessionID,